From f06ebfa08d3fc7065f89485d396d084b18645881 Mon Sep 17 00:00:00 2001 From: Jimbles Date: Fri, 3 Jul 2020 15:17:15 +0100 Subject: [PATCH 1/2] Writing verticies works now. Better comments and examples --- README.md | 29 +++++++--- examples/example1.msh | Bin 3306 -> 0 bytes examples/examplecell.vtu | 35 ------------ examples/examplecell1.msh | Bin 4104 -> 0 bytes examples/examplecell2.msh | Bin 5703 -> 0 bytes examples/examplemulti.vtu | 24 -------- examples/examplepoint.vtu | 35 ------------ examples/examplepoint1.msh | Bin 3594 -> 0 bytes examples/examplepoint2.msh | Bin 4173 -> 0 bytes examples/examplepointcell.msh | Bin 6570 -> 0 bytes examples/examplepointcell.vtu | 46 ---------------- examples/finger_3D.vtu | 8 +-- examples/pyexample.py | 6 -- examples/run_examples.m | 57 +++++++++++-------- examples/testout/.gitignore | 1 + src/meshio.m | 100 ++++++++++++++++++++++++++-------- 16 files changed, 137 insertions(+), 204 deletions(-) delete mode 100644 examples/example1.msh delete mode 100644 examples/examplecell.vtu delete mode 100644 examples/examplecell1.msh delete mode 100644 examples/examplecell2.msh delete mode 100644 examples/examplemulti.vtu delete mode 100644 examples/examplepoint.vtu delete mode 100644 examples/examplepoint1.msh delete mode 100644 examples/examplepoint2.msh delete mode 100644 examples/examplepointcell.msh delete mode 100644 examples/examplepointcell.vtu create mode 100644 examples/testout/.gitignore diff --git a/README.md b/README.md index 778012b..356eb69 100644 --- a/README.md +++ b/README.md @@ -19,12 +19,16 @@ This has only been tested on Matlab 2019b with Python 3.8.3 ```matlab P=meshio.read(fname); % .msh .vtk .vtu .stl .obj TetGen ANSYS ... -% P.vtx - verticies -% P.Cells - structure array for each geometry saved in file -% P.Cells.tri - Trigangulation connectivity list for this cell -% P.Cells.type - 'Tetra','Triangle','Line','Vertex' - -% all contents can be plotted with +% P.vtx - verticies +% P.Cells - structure array for each geometry saved in file +% P.Cells.tri - Trigangulation connectivity list for this cell +% P.Cells.type - 'Tetra','Triangle','Line','Vertex' +% P.cell_data - Per element data in cell array +% P.cell_data_name - Data names in cell array +% P.point_data - Per point data in cell array +% P.point_data_name - Data names in cell array + +% all contents can be plotted using: meshio.plot(P); ``` @@ -39,12 +43,21 @@ dt = delaunayTriangulation(x,y,z); dataex=1:size(dt.ConnectivityList,1); %write to gmsh file with cell data -meshio.write('example.msh',dt.Points,dt.ConnectivityList,dataex); +meshio.write('example.msh',dt.Points,dt.ConnectivityList,{dataex},{'Data'}); ``` This can then be loaded directly into [gmsh](https://gmsh.info/) ![gmsh](examples/figures/RandEx_gmsh.png) -or into paraview (either by writing to .vtu or using meshio paraview plugin) +or into paraview (either by writing to .vtu or loading .msh using meshio paraview plugin) ![paraview](examples/figures/RandEx_paraview.png) + +### Convert file + +Conversion through `meshio-convert` binary is harder to fit into matlab workflow, so this library can be used too + +```matlab +P=meshio.read('example.msh'); +meshio.structwrite('example.vtu',P); +``` diff --git a/examples/example1.msh b/examples/example1.msh deleted file mode 100644 index 2860be1b95d47b716a1ba9107755ad688085c106..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 3306 zcmZ{me@xVM7{?D0(i4LMrGO0e028AqPT&Hc=Atzwwxn7!a@IUDfddYvrGFS~64Oe} z)~pfBb1U17nl3V%b}GoPwm_LEX9*V|P~%+vQQ4vZpO@KZgFkro`Fvi_`}y&CKHr@! z&snkY@ltomi2l+^gt_zY{1#bUAAa$Fm3IkT-U-QcX4I+{4OL{0vi_?tv0|5yj# zSpIJhW`>@@%+z&=+EBH(shy>Ewpy#&Icmey&Q*K6+HkcIYVS~cr`kxh#6+wVOi}8+wsKTJ+kU_;lWc+HpxI*U39FqRR+s5clD+WNrU6LW#_-^6371G z`lrj!iKT0OpLsCg+1S9uN;v#7d5Ore5O;zkMCYST-Gap6cul* zf9ZnQ|BSLnX9c97z2Kx{dz++w6%!h{ZAeDD9aZTSSLOLH8n-kA_siRT#q(B`O~je; z+52_XCuIMot^O9zsQfkSpTy>c0l9ejbi_BuE=utSPwmcYY!T^CY83CNg!n3|8sY}z zx~=B>&pl%j?FuiCc;hD-X!iX)803}t_G;I7rce69*T(LQ@XNlogTFXl3rOvcP3z9b z_sQ%JuX*Z51L8e8bfM#g%d)+`d1=cteX^&(zqv54Q*wKk_`)9>k&j9JxoGbj&H@u)n=7xXzaZ+1AeyfPhP6!*5 zVL7#4)0VW2P!N>pRfEokL;1iz*!b2iI 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AQAAAACAAACAPQAAhToAAA==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 -AQAAAACAAAAIAAAADgAAAA==eJxjZGBgYARiAAAUAAM= +AQAAAACAAACcNAAAMAAAAA==eJztw7EJADAMAzCH0qX/H5wXumQISKBKUgOPLn1VVVVV9eNTVVVVVVVVVdMbXmce diff --git a/examples/pyexample.py b/examples/pyexample.py index 512944f..6212970 100644 --- a/examples/pyexample.py +++ b/examples/pyexample.py @@ -33,12 +33,6 @@ F=meshio.read(inpathmulti) meshio.write_points_cells(outpathmultivtu,F.points,F.cells) -fc=F.cells -fnewcell=[] -fnewcell.append((fc[1].type,fc[1].data)) -fnewcell.append((fc[2].type,fc[2].data)) - -meshio.write_points_cells(outpathmultivtu,F.points,fnewcell) PP=meshio.read(outpathmultivtu) diff --git a/examples/run_examples.m b/examples/run_examples.m index bd7400e..584d26d 100644 --- a/examples/run_examples.m +++ b/examples/run_examples.m @@ -18,67 +18,80 @@ pointdataname={'test','teest','tesest'}; %write with no data -meshio.write('example1.msh',dt.Points,dt.ConnectivityList); -A=meshio.read('example1.msh'); +meshio.write('testout/example1.msh',dt.Points,dt.ConnectivityList); +A=meshio.read('testout/example1.msh'); assert(isequal(A.vtx,dt.Points)); %write with cell data -meshio.write('examplecell1.msh',dt.Points,dt.ConnectivityList,celldata(1),celldataname(1)); -B=meshio.read('examplecell1.msh'); +meshio.write('testout/examplecell1.msh',dt.Points,dt.ConnectivityList,celldata(1),celldataname(1)); +B=meshio.read('testout/examplecell1.msh'); assert(isequal(celldata(1),B.cell_data)); -meshio.write('examplecell2.msh',dt.Points,dt.ConnectivityList,celldata,celldataname); -C=meshio.read('examplecell2.msh'); +meshio.write('testout/examplecell2.msh',dt.Points,dt.ConnectivityList,celldata,celldataname); +C=meshio.read('testout/examplecell2.msh'); assert(isequal(celldata,C.cell_data)); % write with point data -meshio.write('examplepoint1.msh',dt.Points,dt.ConnectivityList,[],[],pointdata(1),pointdataname(1)); -D=meshio.read('examplepoint1.msh'); +meshio.write('testout/examplepoint1.msh',dt.Points,dt.ConnectivityList,[],[],pointdata(1),pointdataname(1)); +D=meshio.read('testout/examplepoint1.msh'); assert(isequal(pointdata(1),D.point_data)); -meshio.write('examplepoint2.msh',dt.Points,dt.ConnectivityList,[],[],pointdata,pointdataname); -E=meshio.read('examplepoint2.msh'); +meshio.write('testout/examplepoint2.msh',dt.Points,dt.ConnectivityList,[],[],pointdata,pointdataname); +E=meshio.read('testout/examplepoint2.msh'); assert(isequal(pointdata,E.point_data)); %write with both point and cell data -meshio.write('examplepointcell.msh',dt.Points,dt.ConnectivityList,celldata,celldataname,pointdata,pointdataname); -F=meshio.read('examplepointcell.msh'); +meshio.write('testout/examplepointcell.msh',dt.Points,dt.ConnectivityList,celldata,celldataname,pointdata,pointdataname); +F=meshio.read('testout/examplepointcell.msh'); assert(isequal(pointdata,F.point_data) && isequal(celldata,F.cell_data)); %convert file using structwrite -meshio.structwrite('examplecell.vtu',C); -meshio.structwrite('examplepoint.vtu',E); -meshio.structwrite('examplepointcell.vtu',F); - +meshio.structwrite('testout/examplecell.vtu',C); +meshio.structwrite('testout/examplepoint.vtu',E); +meshio.structwrite('testout/examplepointcell.vtu',F); %% read gmsh file % example gmsh file is conversion from .stl file % this contains vertcies, lines, triangles and tetrahedra which are all read % order is always vert/line/tri/tetra -fname=('finger_3D.msh'); +fname=('finger_3D'); -P=meshio.read(fname); +P=meshio.read([fname '.msh']); meshio.plot(P); -% extract just the lines/triangles/tetrahedra +% extract just the tetrahedra Ptet=P; -Ptet.cells=Ptet.cells(23:end); +Ptet.cells=Ptet.cells(end); meshio.plot(Ptet); -meshio.structwrite('examplemulti.vtu',Ptet); +% write file back to vtu N.B. meshio merges cells of the same type +meshio.structwrite([fname '.vtu'],P); +Pvtu=meshio.read([fname '.vtu']); +%Ptvu only has 4 cells, each for all vertex,line,tri,tetra + +% meshio cannot write .msh files with different cell types in at the moment +% (meshio v 4.0.16). So write each type to a separate file and merge them +% in gmsh + +try +meshio.structwrite('testout/error.msh',P); + +catch + fprintf(2,'\n -----------\n meshio can only write 1 cell type (e.g. tetra) to msh file \n -----------\n'); +end %% read vtu and write new data -fname=('NNexample.vtu'); +fname='NNexample.vtu'; fnameoutcell='NNexampleNewDataC.vtu'; fnameoutpoint='NNexampleNewDataP.vtu'; diff --git a/examples/testout/.gitignore b/examples/testout/.gitignore new file mode 100644 index 0000000..f59ec20 --- /dev/null +++ b/examples/testout/.gitignore @@ -0,0 +1 @@ +* \ No newline at end of file diff --git a/src/meshio.m b/src/meshio.m index 826efb6..c0734a5 100644 --- a/src/meshio.m +++ b/src/meshio.m @@ -6,10 +6,10 @@ % more formats at: % https://github.com/nschloe/meshio % - % meshio.read - read mesh file - % meshio.write - write matlab mesh to file - % meshio.plot - plot all contents of a meshfile - % + % meshio.read - read mesh file to struct + % meshio.write - write matlab mesh to file + % meshio.plot - plot all contents of a meshfile + % meshio.structwrite - write meshio.read output struct to file % % utilities % meshio.np2mat - np array to matlab array @@ -64,7 +64,11 @@ %meshio.read read mesh file using python meshio % Calls python meshio library and processes output to a % matlab struct - % + % + % Inputs: + % filename - needs extension .msh .vtu .vtk etc. + % + % Output: % objout.vtx - verticies % objout.Cells - structure array for each geometry saved in file % .Cells.tri - Trigangulation connectivity list for this cell @@ -73,6 +77,12 @@ % objout.cell_data_name - {cell array} % objout.point_data - data for each vertex {cell array} % objout.point_data_name - {cell array} + % + % Usage: + % %read data + % M=meshio.read('example.msh'); + % %plot contents + % meshio.plot(M); % ------ load meshes ------ @@ -190,13 +200,33 @@ function fileout = write(filename,points,cells,cell_data,cell_data_name,point_data,point_data_name) %meshio.write write mesh to file using meshio library % - % Inputs - % filename - needs extension - % points - vtx - % cells - connectivity array - % [data] - optional must match size of points or nodes - % [dataname] - optional string - + % Inputs: + % filename - needs extension .msh .vtu .vtk etc. + % points - vtx coordinates + % cells - connectivity array OR struct of cells.tri cells.type + % as obtained from meshio.read + % [cell_data] - element data in {cell array} + % [cell_data_name] - strings in {cell array} + % [point_data] - optional must match size of points or nodes + % [point_data_name] - optional string + % + % + % Usage - simple example + % x = rand(20,1); + % y = rand(20,1); + % z= rand(20,1); + % dt = delaunayTriangulation(x,y,z); + % meshio.write('test.msh',dt.Points,dt.ConnectivityList); + % + % With cell and point data + % celldata={1:size(dt.ConnectivityList,1)}; + % celldataname={'celldata'}; + % meshio.write('test.msh',dt.Points,dt.ConnectivityList,celldata,celldataname); + % + % pointdata={1:size(dt.Points,1)}; + % pointdataname={'pointdata'}; + % meshio.write('test.msh',dt.Points,dt.ConnectivityList,[],[],pointdata,pointdataname); + fprintf('Meshio writing to meshfile : %s\n',filename); @@ -228,7 +258,7 @@ pycellslist=py.list; nCells=size(cells,2); - vertexwarn=0; + for iC=1:nCells @@ -236,25 +266,29 @@ % meshio needs nodes as int32 pycells = meshio.mat2nparray(int32(cells(iC).tri -1)); - %correct for wrong shape if only 1 vertex - Not working as - %getting Python Error: IndexError: tuple index out of range + %correct for wrong shape if only 1 vertex if size(cells(iC).tri) ==1 - pycells=py.numpy.reshape(pycells,int32(1)); - if vertexwarn==0 - fprintf(2,'Writing verticies not currently working, so ignoring all\n'); - vertexwarn=1; - end - continue + pycells.shape=py.tuple({int32(1),int32(1)}); end - + % put nodes into a list of CellBlock type - %pycellblock = py.meshio.CellBlock(cells(iC).type,pycells); pycellblock=py.tuple({cells(iC).type,pycells}); pycellslist.append(pycellblock); + + celltypes{iC}=cells(iC).type; + + end + + % multiple cells of the same type will be merged into single + % cell automatically by meshio, so warn user this is happening + if (size(celltypes,2) > size(unique(celltypes),2)) + fprintf(2,'Caution repeated cell types will be merged by meshio \n'); end + + % ------ convert cell and point data if needed ------ % check if cell data exists @@ -383,23 +417,36 @@ function fileout = structwrite(filename,objin) %meshio.structwrite write file using struct output from meshio.read - % this function is a wrapper for meshio.write + % this function is a wrapper for meshio.write to make it more + % convenient to convert files + % + % Inputs: + % filename - needs extension .msh .vtu .vtk etc. + % objin - struct same as meshio.read output + % + % Usage: + % M=meshio.read('example.msh'); + % meshio.structwrite('example.vtu',M); Docelldata=0; Dopointdata=0; + % check if cell data is present if all(isfield(objin,{'cell_data','cell_data_name'})) if ~isempty(objin.cell_data{1}) Docelldata=1; end end + % check if point data is present if all(isfield(objin,{'point_data','point_data_name'})) if ~isempty(objin.point_data{1}) Dopointdata=1; end end + % call meshio.write with appropriate inputs. this is a kludge + % im sorry! if (Docelldata && Dopointdata) meshio.write(filename,objin.vtx,objin.cells,objin.cell_data,objin.cell_data_name,objin.point_data,objin.point_data_name) @@ -421,7 +468,12 @@ %plot plot all elements within a chosen file % plots verticies, lines and triangles. plots surface mesh of % tetra meshes + % % Use paraview for viewing data as its much better! + % + % Inputs: + % objin - struct from meshio.write + numCells = size(objin.cells,2); figure hold on From e7edbaf151caaac7435ae8d31957d5325212dfb5 Mon Sep 17 00:00:00 2001 From: Jimbles Date: Fri, 3 Jul 2020 15:17:15 +0100 Subject: [PATCH 2/2] better pictures for readme --- README.md | 29 +++++--- examples/example1.msh | Bin 3306 -> 0 bytes examples/examplecell.vtu | 35 ---------- examples/examplecell1.msh | Bin 4104 -> 0 bytes examples/examplecell2.msh | Bin 5703 -> 0 bytes examples/examplemulti.vtu | 24 ------- examples/examplepoint.vtu | 35 ---------- examples/examplepoint1.msh | Bin 3594 -> 0 bytes examples/examplepoint2.msh | Bin 4173 -> 0 bytes examples/examplepointcell.msh | Bin 6570 -> 0 bytes examples/examplepointcell.vtu | 46 ------------ examples/figures/RandEx_gmsh.png | Bin 23465 -> 63067 bytes examples/figures/RandEx_paraview.png | Bin 12219 -> 12067 bytes examples/finger_3D.vtu | 8 +-- examples/pyexample.py | 6 -- examples/run_examples.m | 57 +++++++++------ examples/testout/.gitignore | 1 + src/meshio.m | 100 ++++++++++++++++++++------- 18 files changed, 137 insertions(+), 204 deletions(-) delete mode 100644 examples/example1.msh delete mode 100644 examples/examplecell.vtu delete mode 100644 examples/examplecell1.msh delete mode 100644 examples/examplecell2.msh delete mode 100644 examples/examplemulti.vtu delete mode 100644 examples/examplepoint.vtu delete mode 100644 examples/examplepoint1.msh delete mode 100644 examples/examplepoint2.msh delete mode 100644 examples/examplepointcell.msh delete mode 100644 examples/examplepointcell.vtu create mode 100644 examples/testout/.gitignore diff --git a/README.md b/README.md index 778012b..356eb69 100644 --- a/README.md +++ b/README.md @@ -19,12 +19,16 @@ This has only been tested on Matlab 2019b with Python 3.8.3 ```matlab P=meshio.read(fname); % .msh .vtk .vtu .stl .obj TetGen ANSYS ... -% P.vtx - verticies -% P.Cells - structure array for each geometry saved in file -% P.Cells.tri - Trigangulation connectivity list for this cell -% P.Cells.type - 'Tetra','Triangle','Line','Vertex' - -% all contents can be plotted with +% P.vtx - verticies +% P.Cells - structure array for each geometry saved in file +% P.Cells.tri - Trigangulation connectivity list for this cell +% P.Cells.type - 'Tetra','Triangle','Line','Vertex' +% P.cell_data - Per element data in cell array +% P.cell_data_name - Data names in cell array +% P.point_data - Per point data in cell array +% P.point_data_name - Data names in cell array + +% all contents can be plotted using: meshio.plot(P); ``` @@ -39,12 +43,21 @@ dt = delaunayTriangulation(x,y,z); dataex=1:size(dt.ConnectivityList,1); %write to gmsh file with cell data -meshio.write('example.msh',dt.Points,dt.ConnectivityList,dataex); +meshio.write('example.msh',dt.Points,dt.ConnectivityList,{dataex},{'Data'}); ``` This can then be loaded directly into [gmsh](https://gmsh.info/) ![gmsh](examples/figures/RandEx_gmsh.png) -or into paraview (either by writing to .vtu or using meshio paraview plugin) +or into paraview (either by writing to .vtu or loading .msh using meshio paraview plugin) ![paraview](examples/figures/RandEx_paraview.png) + +### Convert file + +Conversion through `meshio-convert` binary is harder to fit into matlab workflow, so this library can be used too + +```matlab +P=meshio.read('example.msh'); +meshio.structwrite('example.vtu',P); +``` diff --git a/examples/example1.msh b/examples/example1.msh deleted file mode 100644 index 2860be1b95d47b716a1ba9107755ad688085c106..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 3306 zcmZ{me@xVM7{?D0(i4LMrGO0e028AqPT&Hc=Atzwwxn7!a@IUDfddYvrGFS~64Oe} z)~pfBb1U17nl3V%b}GoPwm_LEX9*V|P~%+vQQ4vZpO@KZgFkro`Fvi_`}y&CKHr@! z&snkY@ltomi2l+^gt_zY{1#bUAAa$Fm3IkT-U-QcX4I+{4OL{0vi_?tv0|5yj# zSpIJhW`>@@%+z&=+EBH(shy>Ewpy#&Icmey&Q*K6+HkcIYVS~cr`kxh#6+wVOi}8+wsKTJ+kU_;lWc+HpxI*U39FqRR+s5clD+WNrU6LW#_-^6371G z`lrj!iKT0OpLsCg+1S9uN;v#7d5Ore5O;zkMCYST-Gap6cul* zf9ZnQ|BSLnX9c97z2Kx{dz++w6%!h{ZAeDD9aZTSSLOLH8n-kA_siRT#q(B`O~je; z+52_XCuIMot^O9zsQfkSpTy>c0l9ejbi_BuE=utSPwmcYY!T^CY83CNg!n3|8sY}z zx~=B>&pl%j?FuiCc;hD-X!iX)803}t_G;I7rce69*T(LQ@XNlogTFXl3rOvcP3z9b z_sQ%JuX*Z51L8e8bfM#g%d)+`d1=cteX^&(zqv54Q*wKk_`)9>k&j9JxoGbj&H@u)n=7xXzaZ+1AeyfPhP6!*5 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 -AQAAAACAAAAIAAAADgAAAA==eJxjZGBgYARiAAAUAAM= +AQAAAACAAACcNAAAMAAAAA==eJztw7EJADAMAzCH0qX/H5wXumQISKBKUgOPLn1VVVVV9eNTVVVVVVVVVdMbXmce diff --git a/examples/pyexample.py b/examples/pyexample.py index 512944f..6212970 100644 --- a/examples/pyexample.py +++ b/examples/pyexample.py @@ -33,12 +33,6 @@ F=meshio.read(inpathmulti) meshio.write_points_cells(outpathmultivtu,F.points,F.cells) -fc=F.cells -fnewcell=[] -fnewcell.append((fc[1].type,fc[1].data)) -fnewcell.append((fc[2].type,fc[2].data)) - -meshio.write_points_cells(outpathmultivtu,F.points,fnewcell) PP=meshio.read(outpathmultivtu) diff --git a/examples/run_examples.m b/examples/run_examples.m index bd7400e..584d26d 100644 --- a/examples/run_examples.m +++ b/examples/run_examples.m @@ -18,67 +18,80 @@ pointdataname={'test','teest','tesest'}; %write with no data -meshio.write('example1.msh',dt.Points,dt.ConnectivityList); -A=meshio.read('example1.msh'); +meshio.write('testout/example1.msh',dt.Points,dt.ConnectivityList); +A=meshio.read('testout/example1.msh'); assert(isequal(A.vtx,dt.Points)); %write with cell data -meshio.write('examplecell1.msh',dt.Points,dt.ConnectivityList,celldata(1),celldataname(1)); -B=meshio.read('examplecell1.msh'); +meshio.write('testout/examplecell1.msh',dt.Points,dt.ConnectivityList,celldata(1),celldataname(1)); +B=meshio.read('testout/examplecell1.msh'); assert(isequal(celldata(1),B.cell_data)); -meshio.write('examplecell2.msh',dt.Points,dt.ConnectivityList,celldata,celldataname); -C=meshio.read('examplecell2.msh'); +meshio.write('testout/examplecell2.msh',dt.Points,dt.ConnectivityList,celldata,celldataname); +C=meshio.read('testout/examplecell2.msh'); assert(isequal(celldata,C.cell_data)); % write with point data -meshio.write('examplepoint1.msh',dt.Points,dt.ConnectivityList,[],[],pointdata(1),pointdataname(1)); -D=meshio.read('examplepoint1.msh'); +meshio.write('testout/examplepoint1.msh',dt.Points,dt.ConnectivityList,[],[],pointdata(1),pointdataname(1)); +D=meshio.read('testout/examplepoint1.msh'); assert(isequal(pointdata(1),D.point_data)); -meshio.write('examplepoint2.msh',dt.Points,dt.ConnectivityList,[],[],pointdata,pointdataname); -E=meshio.read('examplepoint2.msh'); +meshio.write('testout/examplepoint2.msh',dt.Points,dt.ConnectivityList,[],[],pointdata,pointdataname); +E=meshio.read('testout/examplepoint2.msh'); assert(isequal(pointdata,E.point_data)); %write with both point and cell data -meshio.write('examplepointcell.msh',dt.Points,dt.ConnectivityList,celldata,celldataname,pointdata,pointdataname); -F=meshio.read('examplepointcell.msh'); +meshio.write('testout/examplepointcell.msh',dt.Points,dt.ConnectivityList,celldata,celldataname,pointdata,pointdataname); +F=meshio.read('testout/examplepointcell.msh'); assert(isequal(pointdata,F.point_data) && isequal(celldata,F.cell_data)); %convert file using structwrite -meshio.structwrite('examplecell.vtu',C); -meshio.structwrite('examplepoint.vtu',E); -meshio.structwrite('examplepointcell.vtu',F); - +meshio.structwrite('testout/examplecell.vtu',C); +meshio.structwrite('testout/examplepoint.vtu',E); +meshio.structwrite('testout/examplepointcell.vtu',F); %% read gmsh file % example gmsh file is conversion from .stl file % this contains vertcies, lines, triangles and tetrahedra which are all read % order is always vert/line/tri/tetra -fname=('finger_3D.msh'); +fname=('finger_3D'); -P=meshio.read(fname); +P=meshio.read([fname '.msh']); meshio.plot(P); -% extract just the lines/triangles/tetrahedra +% extract just the tetrahedra Ptet=P; -Ptet.cells=Ptet.cells(23:end); +Ptet.cells=Ptet.cells(end); meshio.plot(Ptet); -meshio.structwrite('examplemulti.vtu',Ptet); +% write file back to vtu N.B. meshio merges cells of the same type +meshio.structwrite([fname '.vtu'],P); +Pvtu=meshio.read([fname '.vtu']); +%Ptvu only has 4 cells, each for all vertex,line,tri,tetra + +% meshio cannot write .msh files with different cell types in at the moment +% (meshio v 4.0.16). So write each type to a separate file and merge them +% in gmsh + +try +meshio.structwrite('testout/error.msh',P); + +catch + fprintf(2,'\n -----------\n meshio can only write 1 cell type (e.g. tetra) to msh file \n -----------\n'); +end %% read vtu and write new data -fname=('NNexample.vtu'); +fname='NNexample.vtu'; fnameoutcell='NNexampleNewDataC.vtu'; fnameoutpoint='NNexampleNewDataP.vtu'; diff --git a/examples/testout/.gitignore b/examples/testout/.gitignore new file mode 100644 index 0000000..f59ec20 --- /dev/null +++ b/examples/testout/.gitignore @@ -0,0 +1 @@ +* \ No newline at end of file diff --git a/src/meshio.m b/src/meshio.m index 826efb6..c0734a5 100644 --- a/src/meshio.m +++ b/src/meshio.m @@ -6,10 +6,10 @@ % more formats at: % https://github.com/nschloe/meshio % - % meshio.read - read mesh file - % meshio.write - write matlab mesh to file - % meshio.plot - plot all contents of a meshfile - % + % meshio.read - read mesh file to struct + % meshio.write - write matlab mesh to file + % meshio.plot - plot all contents of a meshfile + % meshio.structwrite - write meshio.read output struct to file % % utilities % meshio.np2mat - np array to matlab array @@ -64,7 +64,11 @@ %meshio.read read mesh file using python meshio % Calls python meshio library and processes output to a % matlab struct - % + % + % Inputs: + % filename - needs extension .msh .vtu .vtk etc. + % + % Output: % objout.vtx - verticies % objout.Cells - structure array for each geometry saved in file % .Cells.tri - Trigangulation connectivity list for this cell @@ -73,6 +77,12 @@ % objout.cell_data_name - {cell array} % objout.point_data - data for each vertex {cell array} % objout.point_data_name - {cell array} + % + % Usage: + % %read data + % M=meshio.read('example.msh'); + % %plot contents + % meshio.plot(M); % ------ load meshes ------ @@ -190,13 +200,33 @@ function fileout = write(filename,points,cells,cell_data,cell_data_name,point_data,point_data_name) %meshio.write write mesh to file using meshio library % - % Inputs - % filename - needs extension - % points - vtx - % cells - connectivity array - % [data] - optional must match size of points or nodes - % [dataname] - optional string - + % Inputs: + % filename - needs extension .msh .vtu .vtk etc. + % points - vtx coordinates + % cells - connectivity array OR struct of cells.tri cells.type + % as obtained from meshio.read + % [cell_data] - element data in {cell array} + % [cell_data_name] - strings in {cell array} + % [point_data] - optional must match size of points or nodes + % [point_data_name] - optional string + % + % + % Usage - simple example + % x = rand(20,1); + % y = rand(20,1); + % z= rand(20,1); + % dt = delaunayTriangulation(x,y,z); + % meshio.write('test.msh',dt.Points,dt.ConnectivityList); + % + % With cell and point data + % celldata={1:size(dt.ConnectivityList,1)}; + % celldataname={'celldata'}; + % meshio.write('test.msh',dt.Points,dt.ConnectivityList,celldata,celldataname); + % + % pointdata={1:size(dt.Points,1)}; + % pointdataname={'pointdata'}; + % meshio.write('test.msh',dt.Points,dt.ConnectivityList,[],[],pointdata,pointdataname); + fprintf('Meshio writing to meshfile : %s\n',filename); @@ -228,7 +258,7 @@ pycellslist=py.list; nCells=size(cells,2); - vertexwarn=0; + for iC=1:nCells @@ -236,25 +266,29 @@ % meshio needs nodes as int32 pycells = meshio.mat2nparray(int32(cells(iC).tri -1)); - %correct for wrong shape if only 1 vertex - Not working as - %getting Python Error: IndexError: tuple index out of range + %correct for wrong shape if only 1 vertex if size(cells(iC).tri) ==1 - pycells=py.numpy.reshape(pycells,int32(1)); - if vertexwarn==0 - fprintf(2,'Writing verticies not currently working, so ignoring all\n'); - vertexwarn=1; - end - continue + pycells.shape=py.tuple({int32(1),int32(1)}); end - + % put nodes into a list of CellBlock type - %pycellblock = py.meshio.CellBlock(cells(iC).type,pycells); pycellblock=py.tuple({cells(iC).type,pycells}); pycellslist.append(pycellblock); + + celltypes{iC}=cells(iC).type; + + end + + % multiple cells of the same type will be merged into single + % cell automatically by meshio, so warn user this is happening + if (size(celltypes,2) > size(unique(celltypes),2)) + fprintf(2,'Caution repeated cell types will be merged by meshio \n'); end + + % ------ convert cell and point data if needed ------ % check if cell data exists @@ -383,23 +417,36 @@ function fileout = structwrite(filename,objin) %meshio.structwrite write file using struct output from meshio.read - % this function is a wrapper for meshio.write + % this function is a wrapper for meshio.write to make it more + % convenient to convert files + % + % Inputs: + % filename - needs extension .msh .vtu .vtk etc. + % objin - struct same as meshio.read output + % + % Usage: + % M=meshio.read('example.msh'); + % meshio.structwrite('example.vtu',M); Docelldata=0; Dopointdata=0; + % check if cell data is present if all(isfield(objin,{'cell_data','cell_data_name'})) if ~isempty(objin.cell_data{1}) Docelldata=1; end end + % check if point data is present if all(isfield(objin,{'point_data','point_data_name'})) if ~isempty(objin.point_data{1}) Dopointdata=1; end end + % call meshio.write with appropriate inputs. this is a kludge + % im sorry! if (Docelldata && Dopointdata) meshio.write(filename,objin.vtx,objin.cells,objin.cell_data,objin.cell_data_name,objin.point_data,objin.point_data_name) @@ -421,7 +468,12 @@ %plot plot all elements within a chosen file % plots verticies, lines and triangles. plots surface mesh of % tetra meshes + % % Use paraview for viewing data as its much better! + % + % Inputs: + % objin - struct from meshio.write + numCells = size(objin.cells,2); figure hold on